Dataset Versions

v1

2024-06-07 3:09pm

Generated on Jun 7, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 88%
9132Images
Valid Set 8%
872Images
Test Set 4%
428Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 3.6px
Noise: Up to 0.1% of pixels